



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


a_  :int     = logging.get_logger(__name__)

a_  :Optional[Any]     = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

a_  :Union[str, Any]     = {
    "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"},
    "tokenizer_file": {
        "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json"
    },
}

a_  :Optional[int]     = {"mobilebert-uncased": 512}


a_  :int     = {}




class    snake_case__		(			__lowerCAmelCase	):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE          =      VOCAB_FILES_NAMES
     _SCREAMING_SNAKE_CASE          =      PRETRAINED_VOCAB_FILES_MAP
     _SCREAMING_SNAKE_CASE          =      PRETRAINED_INIT_CONFIGURATION
     _SCREAMING_SNAKE_CASE          =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _SCREAMING_SNAKE_CASE          =      MobileBertTokenizer






     def __init__(			self    :    List[Any],					_snake_case    :    List[str]=None,					_snake_case    :    Union[str, Any]=None,					_snake_case    :    Tuple=True,					_snake_case    :    Optional[Any]="[UNK]",					_snake_case    :    Dict="[SEP]",					_snake_case    :    Tuple="[PAD]",					_snake_case    :    List[Any]="[CLS]",					_snake_case    :    Optional[int]="[MASK]",					_snake_case    :    Optional[int]=True,					_snake_case    :    List[Any]=None,					**_snake_case    :    List[Any],					)  ->List[str]:
            super().__init__(
                _lowerCamelCase,					tokenizer_file=_lowerCamelCase,					do_lower_case=_lowerCamelCase,					unk_token=_lowerCamelCase,					sep_token=_lowerCamelCase,					pad_token=_lowerCamelCase,					cls_token=_lowerCamelCase,					mask_token=_lowerCamelCase,					tokenize_chinese_chars=_lowerCamelCase,					strip_accents=_lowerCamelCase,					**_lowerCamelCase,					)

            snake_case__				:      Optional[Any]        =      json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
            if (
                normalizer_state.get('lowercase',					_lowerCamelCase   ) != do_lower_case
                or normalizer_state.get('strip_accents',					_lowerCamelCase   ) != strip_accents
                or normalizer_state.get('handle_chinese_chars',					_lowerCamelCase   ) != tokenize_chinese_chars
            ):
                   snake_case__				:      Tuple        =      getattr(_lowerCamelCase,					normalizer_state.pop('type'   )   )
                   snake_case__				:      Dict        =      do_lower_case
                   snake_case__				:      Dict        =      strip_accents
                   snake_case__				:      Optional[Any]        =      tokenize_chinese_chars
                   snake_case__				:      str        =      normalizer_class(**_lowerCamelCase   )

            snake_case__				:      Tuple        =      do_lower_case






     def   lowercase_  (			self    :    List[Any],					_snake_case    :    int,					_snake_case    :    str=None   )  ->Dict:
            snake_case__				:      List[str]        =      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

            if token_ids_a:
                   output += token_ids_a + [self.sep_token_id]

            return output






     def   lowercase_  (			self    :    List[str],					_snake_case    :    Optional[Any],					_snake_case    :    List[str] = None   )  ->List[Any]:
            snake_case__				:      Tuple        =      [self.sep_token_id]
            snake_case__				:      Tuple        =      [self.cls_token_id]
            if token_ids_a is None:
                   return len(cls + token_ids_a + sep   ) * [0]
            return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]






     def   lowercase_  (			self    :    Optional[Any],					_snake_case    :    Any,					_snake_case    :    List[str] = None   )  ->int:
            snake_case__				:      Union[str, Any]        =      self._tokenizer.model.save(_lowerCamelCase,					name=_lowerCamelCase   )
            return tuple(_lowerCamelCase   )







"""simple docstring"""


from __future__ import annotations

a				='#'






class   __UpperCAmelCase		:

				def __init__( self ):
										lowerCamelCase__   ={}

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in text:
																if char not in trie:
																						lowerCamelCase__   ={}
																lowerCamelCase__   =trie[char]
										lowerCamelCase__   =True

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in prefix:
																if char in trie:
																						lowerCamelCase__   =trie[char]
																else:
																						return []
										return self._elements(_lowerCamelCase )






				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =[]
										for c, v in d.items():
																lowerCamelCase__   =[" "] if c == END else [(c + s) for s in self._elements(_lowerCamelCase )]
																result.extend(_lowerCamelCase )
										return tuple(_lowerCamelCase )





a				=Trie()
a				=('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
	trie.insert_word(word)





def      lowerCamelCase_					(   __lowerCAmelCase							)				->   tuple:




						'''simple docstring'''



						lowerCamelCase__   =trie.find_word(__lowerCAmelCase							)
						return tuple(string + word for word in suffixes							)





def      lowerCamelCase_					(   )				->   None:




						'''simple docstring'''



						print(autocomplete_using_trie("de"							)							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()


